The analysis of foot kinematics is crucial for detecting and quantifying gait alterations. Its estimate is often performed using stereo-photogrammetric marker-based technology (MB), associated with a variety of multi-segment foot models (Leardini et al., 2007). However, the high-cost laboratory settings and high-time for the subject preparation limits its use. Markerless alternatives (MS) based on single RGB-D camera have been proposed to overcome these limitations. These methods (e.g. Azure Kinect Body tracking SDK, OpenPose, Balta et al., 2020) model the foot as a single segment without articulating the metatarsophalangeal (MTP) joint, which is crucial to guarantee an effective and correct foot progression (Allan et al., 2020).